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Ten23Health

Updating the operating model

Industry
Biotechnology
Public information as of
January 2026

A4BEE prepared this analysis from publicly available sources. It reflects our own reading of Ten23Health's published strategy and is not endorsed by, or produced in cooperation with, Ten23Health. Company website

Strategic priorities

Ten23Health operates across 4 stated priorities, with the most concrete near-term plan anchored on techbio manufacturing excellence.

Integrating advanced robotics, isolator technology, and precision automation into sterile fill-finish operations to handle high-viscosity formulations up to 650 cP while maintaining bubble-free filling precision.

Achieving B Corp certification and building the first CDMO with 100% photovoltaic facade, targeting real-time carbon tracking integration between Elio AI and ERP systems.

Bridging the Basel-Visp data gap through IT/OT convergence, eliminating "Excel Islands" and creating a single source of truth for process data, sustainability metrics, and regulatory compliance.

Challenges we see

  • Digital Integration

    Basel-Visp Data Integration Gap

    R&D data is generated in Basel (BASE) while manufacturing execution and QC release data are generated in Visp (VIVA), with no unified ontology-based industrial data platform connecting these sites.

    Scientists must search through disparate sources and "Excel Islands" for root-cause analysis, creating gaps in tech transfer and risking data integrity issues during regulatory audits.

  • Operations Manufacturing

    High-Viscosity Formulation Process Control

    Subcutaneous biologics require formulations up to 650 cP, creating massive resistance during sterile filtration and filling that can cause pressure spikes damaging proteins or leading to inaccurate dosing.

    Current monitoring of high-viscosity processes is often retrospective rather than proactive, risking batch failures and expensive API losses in small-batch manufacturing scenarios.

  • Operations Quality

    Visual Inspection Cognitive Load

    Ten23's commitment to "bubble-free" filling for intravitreal injections requires extreme precision, with reliance on manual or semi-automated visual inspection for defect detection.

    High "cognitive load" and risk for alert fatigue among operators increase the risk of missed defects that could cause severe clinical complications for patients.

  • Compliance Regulatory

    Annex 1 Digital Compliance Burden

    The new EU GMP Annex 1 mandates a end-to-end Contamination Control Strategy (CCS) with stricter PUPSIT requirements and documentation of robotic interventions to minimize human contact.

    Maintaining the massive volume of digital evidence required for Swissmedic and FDA audits is a significant administrative burden without automated data pipelines, risking compliance gaps.

  • ESG Operations

    Sustainability Data Manual Collection

    Ten23's "Fairstainability" reports require precise tracking of plastic waste, GHG emissions, and energy consumption, but data collection appears largely manual with periodic waste audits.

    Without automated IoT-based monitoring of facility utilities, real-time decision-making on sustainability investments and ROI justification to private equity partners becomes difficult.

Opportunities, by urgency and business impact

Each bubble is one opportunity, numbered to match the list below. Further right means it bites sooner; higher means a bigger effect on the business. A bigger bubble means a bigger implementation effort.

Source: A4BEE analysis of public sources

  1. Unified Industrial Data Platform

    The Basel R&D site and Visp manufacturing facilities operate with fragmented data systems, forcing scientists to navigate multiple spreadsheets and databases for process optimization and root-cause analysis.

    Implement an ontology-based industrial data platform that unifies process data, QC results, and sustainability metrics across all Swiss sites, enabling real-time tech transfer validation and "Golden Batch" comparisons.

  2. Real-Time Process Visualization for High-Viscosity Operations

    Monitoring of high-viscosity filling processes (up to 650 cP) is retrospective, with limited real-time visibility into pressure dynamics, shear forces, and dosing accuracy during sterile filtration and filling.

    Deploy advanced process intelligence dashboards with real-time KPI visualization and "Golden Batch" overlays specifically calibrated for high-viscosity biologics, enabling proactive intervention before batch deviations.

  3. Computer Vision for Quality Inspection

    Manual and semi-automated visual inspection for bubble detection and particulate characterization creates high cognitive load, alert fatigue, and potential for human error in critical intravitreal applications.

    Implement AI-powered computer vision systems that autonomously detect bubbles, particulates, and fill-level anomalies in real-time, reducing operator burden while improving detection accuracy.

  4. Automated Annex 1 Compliance Documentation

    Maintaining audit-ready documentation for the new EU GMP Annex 1 CCS requirements requires extensive manual data compilation, creating risk of compliance gaps and administrative burden.

    Build automated data pipelines that continuously capture PUPSIT results, environmental monitoring, and intervention logs, generating audit-ready compliance packages with zero manual transcription.

  5. Real-Time Sustainability and Carbon Tracking

    Sustainability data for the "Fairstainability" program is collected manually through periodic audits, with no real-time link between the Elio AI tool and ERP/facility systems for operational decision-making.

    Develop middleware and automatic data pipelines connecting Elio sustainability software with facility OT systems and ERP, enabling real-time carbon tracking and data-driven sustainability investments.

What we'd propose

  • Enterprise AI

    Unified Industrial Data Platform for Multi-Site Operations

    Deploy an ontology-based data lakehouse architecture that unifies Basel R&D and Visp manufacturing data into a single source of truth, enabling smooth tech transfer and real-time process intelligence across the organization.

    • Ontology layer

      A shared semantic model so lab, process, and quality data describe the same things the same way.

      DETAIL

    • Predictive models

      Models trained on the historical data plane that flag deviations before they become scrap.

      DETAIL

    • Decision surfaces

      Single pane of glass that surfaces model output to the right role at the right moment.

      DETAIL

    • Shorter lead time from data capture to decision.
    • Records that audit on their own, not on inspection day.
    • Scale without adding the same headcount.

    We've done this before

    See how we do Enterprise AI
  • Digital CDMO

    Real-Time Process Intelligence for High-Viscosity Biologics

    Implement advanced visualization and KPI dashboards specifically designed for high-viscosity formulation filling, enabling proactive process control and immediate deviation detection during sterile manufacturing.

    • OT/IT convergence

      Pull sensor and controller data off the line into a shared data plane in real time.

      DETAIL

    • Batch intelligence

      Golden-batch comparison and deviation detection running on the same data plane.

      DETAIL

    • Production release flow

      Closed-loop between QA, MES, and ERP so batch record review and release follow the data, not the paperwork.

      DETAIL

    • Shorter lead time from data capture to decision.
    • Records that audit on their own, not on inspection day.
    • Scale without adding the same headcount.

    We've done this before

    See how we do Digital CDMO
  • Digital CDMO

    AI-Powered Visual Inspection System

    Deploy computer vision technology for automated detection of bubbles, particulates, and fill-level anomalies in sterile filling operations, reducing operator cognitive load while improving defect detection accuracy.

    • OT/IT convergence

      Pull sensor and controller data off the line into a shared data plane in real time.

      DETAIL

    • Batch intelligence

      Golden-batch comparison and deviation detection running on the same data plane.

      DETAIL

    • Production release flow

      Closed-loop between QA, MES, and ERP so batch record review and release follow the data, not the paperwork.

      DETAIL

    • Shorter lead time from data capture to decision.
    • Records that audit on their own, not on inspection day.
    • Scale without adding the same headcount.

    We've done this before

    See how we do Digital CDMO
  • Digital Lab

    Automated Annex 1 Compliance Infrastructure

    Build automated data pipelines for continuous capture and documentation of GMP Annex 1 compliance evidence, including PUPSIT results, environmental monitoring, and intervention logging with audit-ready report generation.

    • Unified data backbone

      Connect instruments and LIMS into a single data spine so QC and CDMO records are queryable across sites.

      DETAIL

    • Paperless workflows

      Move lab execution from paper to instrument-captured records with full audit trail.

      DETAIL

    • Continuous QC release

      Review-by-exception dashboards that flag only the records needing scientist attention.

      DETAIL

    • Shorter lead time from data capture to decision.
    • Records that audit on their own, not on inspection day.
    • Scale without adding the same headcount.

    We've done this before

    See how we do Digital Lab
  • Enterprise AI

    Real-Time Sustainability Integration Platform

    Develop middleware connecting the Elio AI sustainability tool with ERP and facility OT systems, enabling real-time carbon tracking and automated sustainability reporting for the Fairstainability program.

    • Ontology layer

      A shared semantic model so lab, process, and quality data describe the same things the same way.

      DETAIL

    • Predictive models

      Models trained on the historical data plane that flag deviations before they become scrap.

      DETAIL

    • Decision surfaces

      Single pane of glass that surfaces model output to the right role at the right moment.

      DETAIL

    • Shorter lead time from data capture to decision.
    • Records that audit on their own, not on inspection day.
    • Scale without adding the same headcount.

    We've done this before

    See how we do Enterprise AI

Digital maturity: today and target

Scored out of 100 across six dimensions. The target is what Ten23Health's own published ambition implies — not a perfect score.

Source: A4BEE analysis of public sources
Data Integration 35 → 85
Basel-Visp data chasm creates silos; "Excel Islands" remain for critical process data and sustainability metrics
Process Visualization 45 → 90
Advanced equipment in place but retrospective monitoring; P&ID-based dashboards not yet implemented
Automation & Robotics 60 → 90
Robot-assisted filling (Line 0) operational; visual inspection and compliance documentation still largely manual
Regulatory Compliance 50 → 95
Annex 1 awareness high but digital CCS automation and audit pipeline infrastructure not yet deployed
IT/OT Convergence 40 → 85
CEO identified ERP-Elio integration as critical gap; filling line to business system connectivity incomplete
Change Management 55 → 85
"Loop" organizational model supports agility but "Paper Habit" and "Black Box Anxiety" persist from Big Pharma backgrounds

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This is an independent analysis prepared by A4BEE from publicly available information as of January 2026. It reflects A4BEE's own interpretation and opinion, is not affiliated with, endorsed by, or verified with Ten23Health, and may be incomplete or inaccurate. All company names and trademarks are the property of their respective owners. To request a correction or removal, contact [email protected].